Jitter correction image analysis
Systems, methods, and apparatuses are described herein. For instance, a detection apparatus may comprise memory and at least one processor. The detection apparatus may be configured to obtain an image comprising at least one feature and a plurality of fiducials. The plurality of fiducials may be arranged in a pattern. The detection apparatus may be configured to determine a plurality of sub-regions of the image. Each sub-region comprises a subset of the fiducials comprised in the image. The detection apparatus may be configured to perform a geometric transform on each sub-region to generate a respective local transform associated with each sub-region. The detection apparatus may be configured to register respective locations of the fiducials comprised in the image based on the respective local transform associated with each sub-region. A size of each sub-region may be selected such that each sub-region is substantially invariant to stage jitter.
1 . A sequencing system comprising:
a computing device comprising a processor and memory, the processor and memory configured to:
determine a plurality of sub-regions of an image, wherein the image comprises at least one feature and a plurality of fiducials, the plurality of fiducials are arranged in a pattern, and each sub-region comprises a subset of the fiducials comprised in the image;
perform a geometric transform on each sub-region to generate a respective local transform associated with each sub-region; and
register respective locations of the fiducials comprised in the image based on the respective local transform associated with each sub-region, wherein a size of each sub-region is selected such that each sub-region is substantially invariant to stage jitter.
2 . The sequencing system of claim 1 , wherein the processor and memory are configured to:
determine a respective location for each of the fiducials in the image based on a determined location of a reference fiducial.
3 . The sequencing system of claim 2 , wherein the processor and memory are configured to:
generate a sub-image based on the image, wherein the sub-image comprises a padding of pixels having a larger area than the reference fiducial comprised in the image;
determine a correlation between the image and the sub-image; and
determine whether to adjust a location of the reference fiducial based on the determined correlation.
4 . The sequencing system of claim 1 , wherein each subset of fiducials comprised in a sub-region comprises at least three fiducials.
5 . The sequencing system of claim 1 , wherein the sub-regions are linearly arranged with one another.
6 . The sequencing system of claim 1 , wherein the geometric transform comprises an affine transform.
7 . A computer-implemented method comprising:
obtaining an image comprising at least one feature and a plurality of fiducials, the plurality of fiducials being arranged in a pattern;
determining a plurality of sub-regions of the image, wherein each sub-region comprises a subset of the fiducials comprised in the image;
performing a geometric transform on each sub-region to generate a respective local transform associated with each sub-region; and
registering respective locations of the fiducials comprised in the image based on the respective local transform associated with each sub-region, wherein a size of each sub-region is selected such that each sub-region is substantially invariant to stage jitter.
8 . The computer-implemented method of claim 7 , wherein the sub-regions are linearly arranged with one another.
9 . The computer-implemented method of claim 7 , wherein each subset of fiducials comprised in a sub-region comprises at least three fiducials.
10 . The computer-implemented method of claim 9 , wherein a reference fiducial is located within the image, wherein the method further comprises determining a respective location for each of the fiducials in the image based on a determined location of the reference fiducial.
11 . The computer-implemented method of claim 10 , further comprising:
generating a sub-image based on the obtained image, wherein the sub-image comprises a padding of pixels having a larger area than the reference fiducial comprised in the image;
determining a correlation between the obtained image and the sub-image; and
determining whether to adjust a location of the reference fiducial based on the determined correlation.
12 . The computer-implemented method of claim 7 , wherein a size of each sub-region is selected such that each sub-region is substantially invariant to stage jitter of approximately 200 Hz or less.
13 . The computer-implemented method of claim 7 , wherein at least one fiducial is associated with two adjacent sub-regions.
14 . The computer-implemented method of claim 7 , wherein the pattern of the plurality of fiducials comprises a first set of linearly arranged fiducials that are adjacent to a second set of linearly arranged fiducials, the first set of linearly arranged fiducials and the second set of linearly arranged fiducials extending substantially parallel to one another.
15 . The computer-implemented method of claim 7 , wherein the image comprises a sequencing image.
16 . The computer-implemented method of claim 7 , wherein the location of the feature is associated with a well location of a flow cell.
17 . The computer-implemented method of claim 7 , wherein each sub-region comprises a respective feature, and the respective local transform associated with the sub-region that comprises the respective feature is used to determine the location of the respective feature.
18 . A non-transitory computer readable medium comprising computer readable instructions that, when executed by a processor, cause the processor to implement a method comprising:
obtaining an image comprising at least one feature and a plurality of fiducials, the plurality of fiducials being arranged in a pattern;
determining a plurality of sub-regions of the image, wherein each sub-region comprises a subset of the fiducials comprised in the image;
performing a geometric transform on each sub-region to generate a respective local transform associated with each sub-region; and
registering respective locations of the fiducials comprised in the image based on the respective local transform associated with each sub-region, wherein a size of each sub-region is selected such that each sub-region is substantially invariant to stage jitter.
19 . The non-transitory computer readable medium of claim 18 wherein the sub-regions are linearly arranged with one another.
20 . The non-transitory computer readable medium of claim 18 , wherein each subset of fiducials comprised in a sub-region comprises at least three fiducials.
21 . The non-transitory computer readable medium of claim 18 , wherein a reference fiducial is located within the image, and a location of the reference fiducial is used to determine a respective location for each of the fiducials in the image.
22 . The non-transitory computer readable medium of claim 21 , the method further comprising:
generating a sub-image based on the obtained image, wherein the sub-image comprises a padding of pixels having a larger area than the reference fiducial comprised in the image;
determining a correlation between the obtained image and the sub-image; and
determining whether to adjust a location of the reference fiducial based on the determined correlation.
23 . The non-transitory computer readable medium of claim 18 , wherein a size of each sub-region is selected such that each sub-region is substantially invariant to stage jitter of approximately 200 Hz or less.
24 . The non-transitory computer readable medium of claim 18 , wherein at least one fiducial is associated with two adjacent sub-regions.
25 . The non-transitory computer readable medium of claim 18 , wherein the pattern of the plurality of fiducials comprises a first set of linearly arranged fiducials that are adjacent to a second set of linearly arranged fiducials, the first set of linearly arranged fiducials and the second set of linearly arranged fiducials extending substantially parallel to one another.
26 . The non-transitory computer readable medium of claim 18 , wherein the image comprises a sequencing image.
27 . The non-transitory computer readable medium of claim 18 , wherein the location of the feature is associated with a well location of a flow cell.
28 . The non-transitory computer readable medium of claim 18 , wherein each sub-region comprises a respective feature, and the respective local transform associated with the sub-region that comprises the respective feature is used to determine the location of the respective feature.